Zobrazeno 1 - 10
of 43 829
pro vyhledávání: '"WANG, YUE"'
Autor:
Chen, Ziyu, Yang, Jiawei, Huang, Jiahui, de Lutio, Riccardo, Esturo, Janick Martinez, Ivanovic, Boris, Litany, Or, Gojcic, Zan, Fidler, Sanja, Pavone, Marco, Song, Li, Wang, Yue
We introduce OmniRe, a holistic approach for efficiently reconstructing high-fidelity dynamic urban scenes from on-device logs. Recent methods for modeling driving sequences using neural radiance fields or Gaussian Splatting have demonstrated the pot
Externí odkaz:
http://arxiv.org/abs/2408.16760
Autor:
Wang, Haixin, Cao, Yadi, Huang, Zijie, Liu, Yuxuan, Hu, Peiyan, Luo, Xiao, Song, Zezheng, Zhao, Wanjia, Liu, Jilin, Sun, Jinan, Zhang, Shikun, Wei, Long, Wang, Yue, Wu, Tailin, Ma, Zhi-Ming, Sun, Yizhou
This paper explores the recent advancements in enhancing Computational Fluid Dynamics (CFD) tasks through Machine Learning (ML) techniques. We begin by introducing fundamental concepts, traditional methods, and benchmark datasets, then examine the va
Externí odkaz:
http://arxiv.org/abs/2408.12171
Transition metal dichalcogenide (TMD) single photon emitters (SPEs) offer numerous advantages to quantum information applications, such as high single photon purity and deterministic positioning. Strain in the host monolayer, induced by underlying di
Externí odkaz:
http://arxiv.org/abs/2408.01070
Autor:
Xu, Yinlong, Liu, Xiaoqiang, Kong, Zitai, Wu, Yixuan, Wang, Yue, Lu, Yingzhou, Gao, Honghao, Wu, Jian, Xu, Hongxia
Cardiac arrhythmia, a condition characterized by irregular heartbeats, often serves as an early indication of various heart ailments. With the advent of deep learning, numerous innovative models have been introduced for diagnosing arrhythmias using E
Externí odkaz:
http://arxiv.org/abs/2407.20893
Autor:
Si, Zhi-Zeng, Wang, Da-Lei, Zhu, Bo-Wei, Ju, Zhen-Tao, Wang, Xue-Peng, Liu, Wei, Malomed, Boris A., Wang, Yue-Yue, Dai, Chao-Qing
Soliton pulsations are ubiquitous feature of non-stationary soliton dynamics in mode-locked lasers and many other physical systems. To overcome difficulties related to huge amount of necessary computations and low efficiency of traditional numerical
Externí odkaz:
http://arxiv.org/abs/2407.18725
Inferring gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data is a complex challenge that requires capturing the intricate relationships between genes and their regulatory interactions. In this study, we tackle this chall
Externí odkaz:
http://arxiv.org/abs/2407.18181
Autor:
Han, Chenrui, Yu, Xuan, Xie, Yuxuan, Liu, Yili, Mao, Sitong, Zhou, Shunbo, Xiong, Rong, Wang, Yue
Interactive point cloud segmentation has become a pivotal task for understanding 3D scenes, enabling users to guide segmentation models with simple interactions such as clicks, therefore significantly reducing the effort required to tailor models to
Externí odkaz:
http://arxiv.org/abs/2407.14009
Autor:
Wang, Yue, Shi, Haoran
This paper tackles the challenge of estimating correlations between higher-level biological variables (e.g., proteins and gene pathways) when only lower-level measurements are directly observed (e.g., peptides and individual genes). Existing methods
Externí odkaz:
http://arxiv.org/abs/2407.07809
Accurate perception of the dynamic environment is a fundamental task for autonomous driving and robot systems. This paper introduces Let Occ Flow, the first self-supervised work for joint 3D occupancy and occupancy flow prediction using only camera i
Externí odkaz:
http://arxiv.org/abs/2407.07587
In nature, animals with exceptional locomotion abilities, such as cougars, often possess asymmetric fore and hind legs, with their powerful hind legs acting as reservoirs of energy for leaps. This observation inspired us: could optimize the leg lengt
Externí odkaz:
http://arxiv.org/abs/2407.06770